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Proceedings Paper

Optical dynamic range compression deconvolution and correlation using organic photorefractive materials
Author(s): Bahareh Haji-saeed; Jed Khoury; Charles L. Woods; John Kierstead; Nasser Peyghambarian; Michiharu Yamamoto
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Paper Abstract

Imaging in atmospheric turbulence and target recognition in cluttered environments have been research topics for many years. Currently, there are some well-established techniques for image restoration and recognition; however, if the atmospheric turbulence becomes a severe scattering medium and the surrounding environment is very cluttered, most conventional methods, such as inverse filtering and Wiener filtering, will be inadequate for correcting and recognizing the captured images. In this paper, we experimentally demonstrate nonlinear dynamic range compression techniques for image restoration and correlation via two-beam coupling and four wave mixing in organic photorefractive films.

Paper Details

Date Published: 26 April 2011
PDF: 14 pages
Proc. SPIE 8055, Optical Pattern Recognition XXII, 80550I (26 April 2011); doi: 10.1117/12.884117
Show Author Affiliations
Bahareh Haji-saeed, Air Force Research Lab. (United States)
Jed Khoury, Air Force Research Lab. (United States)
Charles L. Woods, Air Force Research Lab. (United States)
John Kierstead, Solid State Scientific Corp. (United States)
Nasser Peyghambarian, Univ. of Arizona (United States)
Michiharu Yamamoto, Nitto Denko Technical Corp (United States)

Published in SPIE Proceedings Vol. 8055:
Optical Pattern Recognition XXII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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